SMB Sales Intelligence MCP
Domain-expert SMB sales playbooks for AI agents. Discovery questions, objection handlers, cold email + LinkedIn DM templates, BANT/MEDDIC frameworks, closing tactics. Built by an ex-Criteo (268% quota) / ex-Deel ($12B) / ex-HBO / ex-Bloomberg enterprise AE. Use when your AI SDR needs real human-tested sales artifacts.
README
SMB Sales Intelligence MCP Server
Battle-tested B2B sales playbook frameworks for AI agents.
Built from 10+ years of B2B enterprise sales experience across ad-tech, SaaS, media, and global hiring — including a five-year stretch overshooting quota every year at a publicly-listed ad-tech company.
By Elisabeth Hitz.
Disclaimer. Structured general-best-practice sales frameworks. Not a substitute for tailored sales coaching, legal advice, or domain-specific consulting. Use as a starting layer, not a final source.
The Problem
AI agents fail at sales because they:
- Pitch before qualifying — talking about features to people who aren't even buyers
- Fold on objections with "I understand your concern" (a surrender, not a response)
- Follow up with "just checking in" — a near-zero reply rate everyone recognizes
- Treat EMEA like one market — burning trust in 5+ different cultures
- Present one price instead of giving the 3-option menu that converts
The result: burned leads, dead sequences, and revenue left on the table.
The Solution
10 callable tools that give your AI agent decades of real enterprise sales experience — not theory from a blog post. Word-for-word scripts, country-specific playbooks, and psychology-backed objection handlers from deals worth $50K–$500K.
🔧 10 Tools
| Tool | What it does |
|---|---|
get_discovery_script |
5 tones × qualification frameworks. Doubles close rates by qualifying before pitching. |
get_objection_response |
10 most common B2B objections (price, timing, authority, ghosting…) with reframes that advance the conversation. |
get_followup_sequence |
4 sequences (post-proposal, post-call, cold, revival). Day 5 message reopens 30–40% of dead conversations. |
get_closing_script |
7 closing styles — assumptive, timeline, scarcity, retainer, choice, next-step. AI picks based on context. |
get_pricing_framework |
The 3-option menu that prevents anchoring and increases average deal size. |
get_emea_intelligence |
UK / Ireland / Spain / Germany / France / Netherlands / Nordics. Each market is different — the AI gets the playbook. |
get_cold_email_template |
Pattern-interrupt, observation, mutual-connection, case-study, breakup. Under 100 words each. |
get_call_script |
Discovery and cold-call frameworks with timing breakdowns. |
get_buying_signals |
The 9 signals that mean "stop pitching, start closing." |
get_full_playbook |
Complete dump for fine-tuning your agent or loading as system context. |
💰 Pricing (Pay-Per-Event)
Pay only for what your AI agent actually calls. No subscriptions, no tier gating.
| Event | Price |
|---|---|
| Tool call | $0.05 |
| EMEA market brief | $0.10 |
| Full playbook dump | $0.50 |
First 10 calls free — try it on Claude Desktop, Cursor, Cline, or any MCP-compatible client.
🚀 Quick Start
Use via Apify (no setup)
Click "Run" on this Apify page. Pass tool as input. Done.
Use locally with Claude Desktop, Cursor, or any MCP client
git clone https://github.com/elibierhitz/smb-sales-mcp
cd smb-sales-mcp
npm install
npm run build
Add to your Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json on Mac):
{
"mcpServers": {
"smb-sales": {
"command": "node",
"args": ["/path/to/smb-sales-mcp/dist/main.js"]
}
}
}
Restart Claude Desktop. Test it:
"Use smb-sales to handle this objection: the prospect said our price is too high"
🎯 Real Example Calls
Objection in the wild:
Prospect: "Your price is too high"
→ get_objection_response({ objection_type: "too_expensive" })
→ "Fair point — let me ask: is it the total investment that feels off,
or the value relative to what you're getting? Because I can usually
solve one of those."
Reviving a dead deal:
Prospect went silent 5 days after proposal
→ get_followup_sequence({ sequence_type: "post_proposal" })
→ Day 5 message: "Had a thought for your [product]: [specific idea].
Want me to build that into Option B?"
(Reopens 30–40% of dead conversations.)
Selling into Germany:
First touch with German prospect
→ get_emea_intelligence({ country: "germany" })
→ "Most process-oriented market in EMEA. Lead with data and detailed
proposals. Use formal address (Herr/Frau Last Name). Expect 6–12 week
cycles for SMB. GDPR compliance non-negotiable. Don't be casual."
Who This Is For
- AI SDR platforms (11x, Artisan, Landbase, Alta) needing real training data
- Outbound automation tools that want better conversion rates than "just checking in"
- CRM AI assistants making intelligent recommendations on live deals
- Sales coaching bots requiring proven script frameworks
- Lead qualification agents that need structured discovery flows
- Founders building sales AI who want expert data without hiring a sales consultant
Why This Is Different
Most sales content online is theory. This is from the trenches.
Five consecutive years of overshooting quota at a publicly-listed ad-tech company is the kind of repetition that produces working sales frameworks. The scripts here aren't blog-post best practice — they're structured around real B2B enterprise selling experience layered onto general best-practice methodology (BANT, MEDDIC, SPIN, Sandler).
Your AI agent gets that structured layer as API calls.
Disclaimer: This MCP returns structured general-best-practice frameworks. Not a substitute for tailored sales coaching, legal advice, or domain-specific consulting. None of the outputs reproduce any former employer's proprietary methodology.
🌍 EMEA Module — Why It Matters
Most AI SDR tools assume EMEA is one market. It isn't.
| Country | What works | What kills deals | Cycle |
|---|---|---|---|
| 🇬🇧 UK | Data, specificity, dry humor | Superlatives, aggressive follow-up | 2–4 wks SMB |
| 🇮🇪 Ireland | Warm intros, Dublin tech context | Treating it like London | Faster w/ referrals |
| 🇪🇸 Spain | Trust over time, Spanish for SMBs | Rushing, August launches | 4–8 wks SMB |
| 🇩🇪 Germany | Documentation, formal address, GDPR | Casual tone, vague claims | 6–12 wks SMB |
| 🇫🇷 France | French language, intellectual rigor | Generic mass messaging | 4–8 wks SMB |
| 🇳🇱 Netherlands | Direct, transparent, fast | Overpromising, fluff | Among fastest in EMEA |
| 🇸🇪 Nordics | Consensus, sustainability framing | Hard sells, after-hours emails | 3–6 wks SMB |
Built from 5+ years of EMEA B2B enterprise sales experience.
👤 About the Author
Elisabeth Hitz — Swiss-American B2B sales executive based in Barcelona.
- 10+ years of B2B enterprise sales experience across ad-tech, SaaS, media, and global hiring
- Five consecutive years overshooting quota at a publicly-listed ad-tech company
- 5+ years EMEA B2B enterprise sales (UK, Germany, Spain, France, Ireland, Netherlands)
- Closed mid-five to mid-six-figure deals across multiple industries
- Now building closermethod.com and sales tools for the AI agent ecosystem
LinkedIn: linkedin.com/in/elisabethhitz
📦 Integration
Works with any MCP-compatible client:
- Claude Desktop
- Cursor
- Cline
- Windsurf
- Custom MCP implementations
🤝 For AI SDR Platforms
If you're building 11x/Artisan/Alta-style products and want extended access for fine-tuning your agent, DM me on LinkedIn. Happy to discuss white-label deals.
License
MIT. Use it, modify it, ship it.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.